Influence of Large-Scale Brain State Dynamics on the Evoked Response to Brain Stimulation
Understanding how spontaneous brain activity influences the response to neurostimulation is crucial for the development of neurotherapeutics and brain-computer interfaces. Localized brain activity is suggested to influence the response to neurostimulation, but whether fast-fluctuating (i.e., tens of milliseconds) large-scale brain dynamics also have any such influence is unknown. By stimulating the prefrontal cortex using combined transcranial magnetic stimulation (TMS) and electroencephalography, we examined how dynamic global brain state patterns, as defined by microstates, influence the magnitude of the evoked brain response. TMS applied during what resembled the canonical Microstate C was found to induce a greater evoked response for up to 80 ms compared with other microstates. This effect was found in a repeated experimental session, was absent during sham stimulation, and was replicated in an independent dataset. Ultimately, ongoing and fast-fluctuating global brain states, as probed by microstates, may be associated with intrinsic fluctuations in connectivity and excitation-inhibition balance and influence the neurostimulation outcome. We suggest that the fast-fluctuating global brain states be considered when developing any related paradigms.
Authors
- Prabhjot Dhami
- Faranak Farzan (ORCID: https://orcid.org/0000-0001-9249-2994)
- Amin Kabir Anaraki (ORCID: https://orcid.org/0000-0002-9530-8627)
- Sylvain Moreno (ORCID: https://orcid.org/0000-0001-6898-7479)
- Zafiris J. Daskalakis
- Daniel M. Blumberger
- Marie-Anne Dussault Gomez
Institutions
- Centre for Addiction and Mental Health (CA)
- Simon Fraser University (CA)
- University of Toronto (CA)
- Canada Research Chairs (CA)
- University of California San Diego (US)
- BC Innovation Council (CA)
Publication Details
- Journal
- Journal of Neuroscience
- Published
- 2024-08-20
- DOI
- https://doi.org/10.1523/jneurosci.0782-24.2024
- Citations
- 11
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 3.77
Funders
- Indivior
- BrainsWay
- Michael Smith Health Research BC
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada